Salah Hammedi is a researcher and lecturer in Computer Science, currently affiliated with the Higher Institute of Applied Mathematics and Computer Science of Kairouan (ISMAI-K), University of Kairouan, Tunisia. He holds a Ph.D. in Electrical Engineering from the National Engineering School of Monastir (ENIM), awarded in 2025, where his doctoral work focused on the optimization of production systems through intelligent algorithms, particularly Petri Nets and Artificial Intelligence (AI) techniques. He also earned a Master?s degree in Intelligent Information Systems from ISIGK, with earlier research centered on driver assistance technologies. Dr. Hammedi is an active member of the Networked Objects Control and Communication Systems Laboratory (NOCCS) at the University of Sousse. His primary research interests include smart manufacturing, AI-driven optimization, meta-heuristics, dynamic task allocation, and reconfigurable production systems. His contributions have been published in 7 international journals and presented at 3 major international conferences, addressing topics such as production scheduling, genetic algorithms, Petri net modeling, and real-time object tracking using YOLOv5. He is also a reviewer for several peer-reviewed journals and serves as an Academic Board Member for Global Open Share Publishing (GOSP).